Triple
T22110990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varkari literature |
E546417
|
entity |
| Predicate | majorAuthor |
P12787
|
FINISHED |
| Object | Sopandev |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sopandev | Statement: [Varkari literature, majorAuthor, Sopandev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sopandev Context triple: [Varkari literature, majorAuthor, Sopandev]
-
A.
Sopandev
chosen
Sopandev was a revered medieval Marathi saint and poet of the Varkari tradition, known for his devotional compositions and spiritual influence in Maharashtra.
-
B.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
C.
Sudharak
Sudharak was a Marathi-language social reformist periodical associated with progressive thinker Gopal Ganesh Agarkar, known for advocating rationalism and social change in late 19th-century India.
-
D.
Sahodhari
Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
-
E.
Вахандарья
Вахандарья — горная река в Таджикистане, один из истоков реки Пяндж, протекающая по высокогорным районам Памира.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:30 p.m.